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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

   
 
 

 

On Lamperti transformation and AR$(1)$ type characterisations of discrete random fields


Authors: Marko Voutilainen, Lauri Viitasaari and Pauliina Ilmonen
Journal: Theor. Probability and Math. Statist. 111 (2024), 181-197
MSC (2020): Primary 60G60, 60G10, 60G18
DOI: https://doi.org/10.1090/tpms/1222
Published electronically: October 30, 2024
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Abstract | References | Similar Articles | Additional Information

Abstract: In this article we characterise discrete time stationary fields by difference equations involving stationary increment fields and self-similar fields. This gives connections between stationary fields, stationary increment fields and, through Lamperti transformation, self-similar fields. Our contribution is a natural generalisation of recently proved results covering the case of stationary processes.


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Additional Information

Marko Voutilainen
Affiliation: Turku School of Economics, Department of Accounting and Finance, FI-20014 University of Turku, Finland
Email: mtvout@utu.fi

Lauri Viitasaari
Affiliation: Uppsala University, Department of Mathematics, Box 480, 751 06 Uppsala, Sweden
Address at time of publication: Aalto University, Department of Information and Service Management, P.O. Box 21210, 00076 Aalto, Finland
Email: lauri.viitasaari@aalto.fi

Pauliina Ilmonen
Affiliation: Aalto University, Department of Mathematics and Systems Analysis, P.O. Box 11100, FI-00076 Aalto, Finland
Email: pauliina.ilmonen@aalto.fi

Keywords: Random fields, stationary fields, self-similar fields, Lamperti transformation, fractional Ornstein–Uhlenbeck fields
Received by editor(s): April 21, 2023
Accepted for publication: September 7, 2023
Published electronically: October 30, 2024
Additional Notes: Academy of Finland, decision number 346308
Article copyright: © Copyright 2024 Taras Shevchenko National University of Kyiv